Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification

Li Ma
Li Ma
Andong Ma
Andong Ma
Cai Ju
Cai Ju
Xingmei Li
Xingmei Li

Pattern Recognition Letters, Volume 83, 2016, Pages 133-142.

Cited by: 33|Bibtex|Views21|Links
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Abstract:

Spectral and spatial regularized semi-supervised learning is investigated for classification of hyperspectral images. In spectral regularizer, sum of minimum distance (SMD) is introduced to determine graph adjacency relationships and local manifold learning (LML) is employed for edge weighting. The resulted SMD_LML regularizer is able to ...More

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